Presenting intelligent tagging suggestions for a photograph

ABSTRACT

Methods, apparatuses, and computer program products for presenting intelligent tagging suggestions for a photograph are provided. Embodiments include identifying, by a tagging module, contextual information indicating circumstances in which the photograph was taken; based on the contextual information, selecting, by the tagging module, candidate profiles from a plurality of friend profiles associated with a profile of a user; and suggesting, by the tagging module to the user, the selected candidate profiles as potential friends to tag in the photograph.

CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation application of and claims priorityfrom U.S. patent application Ser. No. 13/218,038, filed on Aug. 25,2011.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The field of the invention is data processing, or, more specifically,methods, apparatuses, and computer program products for presentingintelligent tagging suggestions for a photograph.

2. Description of Related Art

Social networking websites now store and display more photographs thenany other website type. One advantage of displaying photographs onsocial networking sites is the ability to tag people in thesephotographs. A tag is a link between that photograph and the personalprofile of the person in the picture. The photograph can possibility beaccessed through that person's profile and that person's profile may beaccessed through the photograph. Typically, the process for tagging forperson in a photograph involves a user manually typing in a name of oneof the user's friends or the user scrolling through a list of all of theuser's friends. In cases where the user has many friends, this manualprocess may be time consuming.

SUMMARY OF THE INVENTION

Methods, apparatuses, and computer program products for presentingintelligent tagging suggestions for a photograph are provided.Embodiments include identifying, by a tagging module, contextualinformation indicating circumstances in which the photograph was taken;based on the contextual information, selecting, by the tagging module,candidate profiles from a plurality of friend profiles associated with aprofile of a user; and suggesting, by the tagging module to the user,the selected candidate profiles as potential friends to tag in thephotograph.

The foregoing and other objects, features and advantages of theinvention will be apparent from the following more particulardescriptions of exemplary embodiments of the invention as illustrated inthe accompanying drawings wherein like reference numbers generallyrepresent like parts of exemplary embodiments of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 sets forth a block diagram of automated computing machinerycomprising an exemplary computer useful in presenting intelligenttagging suggestions for a photograph according to embodiments of thepresent invention.

FIG. 2 sets forth a flow chart illustrating an exemplary method forpresenting intelligent tagging suggestions for a photograph according toembodiments of the present invention.

FIG. 3 sets forth a flow chart illustrating a further exemplary methodfor presenting intelligent tagging suggestions for a photographaccording to embodiments of the present invention.

FIG. 4 sets forth a flow chart illustrating a further exemplary methodfor presenting intelligent tagging suggestions for a photographaccording to embodiments of the present invention.

FIG. 5 sets forth a flow chart illustrating a further exemplary methodfor presenting intelligent tagging suggestions for a photographaccording to embodiments of the present invention.

FIG. 6 sets forth a flow chart illustrating a further exemplary methodfor presenting intelligent tagging suggestions for a photographaccording to embodiments of the present invention.

FIG. 7A sets forth a flow chart illustrating a further exemplary methodfor presenting intelligent tagging suggestions for a photographaccording to embodiments of the present invention.

FIG. 7B sets forth a diagram of a display device suggesting to the userselected candidate profiles according to the method of FIG. 7A.

FIG. 8A sets forth a flow chart illustrating a further exemplary methodfor presenting intelligent tagging suggestions for a photographaccording to embodiments of the present invention.

FIG. 8B sets forth a diagram of a display device suggesting to the userselected candidate profiles according to the method of FIG. 8A.

DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS

Exemplary methods, apparatus, and products for presenting intelligenttagging suggestions for a photograph in accordance with the presentinvention are described with reference to the accompanying drawings,beginning with FIG. 1. Presenting intelligent tagging suggestions for aphotograph in accordance with the present invention is generallyimplemented with computers, that is, with automated computing machinery.FIG. 1 sets forth a block diagram of automated computing machinerycomprising an exemplary computer (152) useful in presenting intelligenttagging suggestions for a photograph according to embodiments of thepresent invention. The computer (152) of FIG. 1 includes at least onecomputer processor (156) or ‘CPU’ as well as random access memory (168)(‘RAM’) which is connected through a high speed memory bus (166) and busadapter (158) to processor (156) and to other components of the computer(152).

Stored in RAM (168) is a tagging module (191) that includes computerprogram instructions for presenting intelligent tagging suggestions fora photograph according to embodiments of the present invention.Specifically, the tagging module (191) includes computer programinstructions that when executed by the processor (156) cause thecomputer (152) to carry out the steps of: identifying, by the taggingmodule (191), contextual information indicating circumstances in whichthe photograph (192) was taken; based on the contextual information,selecting, by the tagging module (191), candidate profiles from aplurality of friend profiles associated with a profile of a user; andsuggesting, by the tagging module (191) to the user (101), the selectedcandidate profiles as potential friends to tag in the photograph (192).

Also stored in RAM (168) is an operating system (154). Operating systemsuseful presenting intelligent tagging suggestions for a photographaccording to embodiments of the present invention include UNIX™, Linux™,Microsoft XP™, AIX™, IBM's i5/OS™, and others as will occur to those ofskill in the art. The operating system (154) and the tagging module(191) in the example of FIG. 1 are shown in RAM (168), but manycomponents of such software typically are stored in non-volatile memoryalso, such as, for example, on a disk drive (170).

The computer (152) of FIG. 1 includes disk drive adapter (172) coupledthrough expansion bus (160) and bus adapter (158) to processor (156) andother components of the computer (152). Disk drive adapter (172)connects non-volatile data storage to the computer (152) in the form ofdisk drive (170). Disk drive adapters useful in computers for presentingintelligent tagging suggestions for a photograph according toembodiments of the present invention include Integrated DriveElectronics (‘IDE’) adapters, Small Computer System Interface (‘SCSI’)adapters, and others as will occur to those of skill in the art.Non-volatile computer memory also may be implemented for as an opticaldisk drive, electrically erasable programmable read-only memory(so-called ‘EEPROM’ or ‘Flash’ memory), RAM drives, and so on, as willoccur to those of skill in the art.

The example computer (152) of FIG. 1 includes one or more input/output(‘I/O’) adapters (178). I/O adapters implement user-orientedinput/output through, for example, software drivers and computerhardware for controlling output to display devices such as computerdisplay screens, as well as user input from user input devices (181)such as keyboards and mice. The example computer (152) of FIG. 1includes a video adapter (183), which is an example of an I/O adapterspecially designed for graphic output to a display device (180) such asa display screen or computer monitor. Video adapter (183) is connectedto processor (156) through a high speed video bus (164), bus adapter(158), and the front side bus (162), which is also a high speed bus.

The exemplary computer (152) of FIG. 1 includes a communications adapter(167) for data communications with other computers (182) and for datacommunications with a data communications network (100). Such datacommunications may be carried out serially through RS-232 connections,through external buses such as a Universal Serial Bus (‘USB’), throughdata communications networks such as IP data communications networks,and in other ways as will occur to those of skill in the art.Communications adapters implement the hardware level of datacommunications through which one computer sends data communications toanother computer, directly or through a data communications network.Examples of communications adapters useful for presenting intelligenttagging suggestions for a photograph according to embodiments of thepresent invention include modems for wired dial-up communications,Ethernet (IEEE 802.3) adapters for wired data communications networkcommunications, and 802.11 adapters for wireless data communicationsnetwork communications.

For further explanation, FIG. 2 sets forth a flow chart illustrating anexemplary method for presenting intelligent tagging suggestions for aphotograph according to embodiments of the present invention. The methodof FIG. 2 includes identifying (202), by a tagging module (191),contextual information (220) indicating circumstances in which thephotograph (191) was taken. Contextual information may include anyinformation available from a social networking service. Examples ofcontextual information include profile information, photograph tags,events, messages, wall postings, interest group associations, and othersas will occur to those of skill in the art. Identifying (202) contextualinformation (220) indicating circumstances in which the photograph (191)was taken may be carried out by receiving contextual information from asocial networking website. For example, the contextual information for aparticular photograph may indicate that the photograph is part of analbum and that the album is a grouping of pictures that were all takenat a specific time, at a specific location, as part of a specificmeeting or group of friends, or was part of a specific event.

The method of FIG. 2 includes selecting (204), by the tagging module(191) based on the contextual information (220), candidate profiles(224) from a plurality of friend profiles (223) associated with aprofile (281) of a user (101). Selecting (204) based on the contextualinformation (220) candidate profiles (224) from a plurality of friendprofiles (223) associated with a profile (281) of a user (101) may becarried out by identifying the friend profiles associated with theprofile of the user; retrieving personal information corresponding tothe identified friend profiles; and cross matching the personalinformation corresponding to the identified friend profiles with thecontextual information. For example, if the contextual information of aphotograph indicates that the photograph was taken at a high schoolalumni reunion, then the tagging module (191) may identify friends thatthe user went to high school with.

The method of FIG. 2 also optionally includes assigning (205), by thetagging module (191), a rank (226) to each of the selected candidateprofiles (224) based on the identified contextual information (220).Assigning (205) a rank (226) to each of the selected candidate profiles(224) based on the identified contextual information (220) may becarried out by assigning rankings based on a particular friend profiles'level of matching with the identified contextual information. Continuingwith the alumni reunion example, a first friend profile may havepersonal information indicating that the user and the first friend wentto high school together but the first friend is not listed as an eventattendee of the alumni reunion. In this example, the first friend may beassigned a lower ranking than a second friend that was both a highschool alumni and an event attendee of the reunion.

The method of FIG. 2 includes suggesting (206), by the tagging module(191) to the user (101), the selected candidate profiles as potentialfriends to tag in the photograph (192). Suggesting (206) to the user(101) the selected candidate profiles as potential friends to tag in thephotograph (192) may be carried out by transmitting one or more messagesto the user indicating a representation of the potential friend.Suggesting (206) to the user (101) the selected candidate profiles aspotential friends to tag in the photograph (192) may optionally includesuggesting (207), by the tagging module (191), the selected candidateprofiles (224) based on their assigned rank (226). Suggesting (207) theselected candidate profiles (224) based on their assigned rank (226) maybe carried out by displaying the potential friends within a list andsorted in descending order of rank.

For further explanation, FIG. 3 sets forth a flow chart illustrating afurther exemplary method for presenting intelligent tagging suggestionsfor a photograph according to embodiments of the present invention. Themethod of FIG. 3 is similar to the method of FIG. 2 in that the methodof FIG. 3 also includes: identifying (202), by a tagging module (191),contextual information (220) indicating circumstances in which thephotograph (191) was taken; based on the contextual information (220),selecting (204), by the tagging module (191), candidate profiles (224)from a plurality of friend profiles (223) associated with a profile(281) of a user (101); and suggesting (206), by the tagging module (191)to the user (101), the selected candidate profiles as potential friendsto tag in the photograph (192). In the method of FIG. 3, however,identifying (202), by a tagging module (191), contextual information(220) indicating circumstances in which the photograph (191) was takenincludes corresponding (302), by the tagging module (191), thephotograph (192) with an event (320) having identified profiles (324) ofevent attendees. Corresponding (302) the photograph (192) with an event(320) having identified profiles (324) of event attendees may be carriedout by querying a social networking service for a list of eventattendees.

In the method of FIG. 3, selecting (204), by the tagging module (191)based on the contextual information (220), candidate profiles (224) froma plurality of friend profiles (223) associated with a profile (281) ofa user (101) includes selecting (304) as a candidate profile (224) anyof the profiles (326) of the event attendees that are also within theplurality (223) of friend profiles associated with the user (101).Selecting (304) as a candidate profile (224) any of the profiles (326)of the event attendees that are also within the plurality (223) offriend profiles associated with the user (101) may be carried out bycomparing the list of event attendees to the friend profiles of theuser.

For further explanation, FIG. 4 sets forth a flow chart illustrating afurther exemplary method for presenting intelligent tagging suggestionsfor a photograph according to embodiments of the present invention. Themethod of FIG. 4 is similar to the method of FIG. 2 in that the methodof FIG. 4 also includes: identifying (202), by a tagging module (191),contextual information (220) indicating circumstances in which thephotograph (191) was taken; based on the contextual information (220),selecting (204), by the tagging module (191), candidate profiles (224)from a plurality of friend profiles (223) associated with a profile(281) of a user (101); and suggesting (206), by the tagging module (191)to the user (101), the selected candidate profiles as potential friendsto tag in the photograph (192).

In the method of FIG. 4, however, identifying (202), by a tagging module(191), contextual information (220) indicating circumstances in whichthe photograph (191) was taken includes identifying (402), by thetagging module (191), a location (420) at which the photograph (192) wastaken. Identifying (402) a location (420) at which the photograph (192)was taken may be carried out by querying a social networking service fortag information corresponding to the photograph or to an album that thephotograph is indexed.

In the method of FIG. 4, selecting (204), by the tagging module (191)based on the contextual information (220), candidate profiles (224) froma plurality of friend profiles (223) associated with a profile (281) ofa user (101) includes selecting (404) as a candidate profile (224) anyof the identified friend profiles (422) that have profile informationindicating an association with the identified location (420). Selecting(404) as a candidate profile (224) any of the identified friend profiles(422) that have profile information indicating an association with theidentified location (420) may be carried out by searching the friendprofiles for information matching the identified location. For example,if the contextual information indicates that the photograph was taken inNorth Carolina, the tagging module (191) may search the friend profilesfor the data entries of North Carolina. In this case, a friend of theuser indicating a home town of North Carolina or a recent visit to NorthCarolina may return a match for contextual information with a NorthCarolina location.

For further explanation, FIG. 5 sets forth a flow chart illustrating afurther exemplary method for presenting intelligent tagging suggestionsfor a photograph according to embodiments of the present invention. Themethod of FIG. 5 is similar to the method of FIG. 2 in that the methodof FIG. 5 also includes: identifying (202), by a tagging module (191),contextual information (220) indicating circumstances in which thephotograph (191) was taken; based on the contextual information (220),selecting (204), by the tagging module (191), candidate profiles (224)from a plurality of friend profiles (223) associated with a profile(281) of a user (101); and suggesting (206), by the tagging module (191)to the user (101), the selected candidate profiles as potential friendsto tag in the photograph (192).

The method of FIG. 5, however, includes detecting (502), by the taggingmodule (191), a tag (520) of the photograph (192) that identifies aprofile (522) of a photograph attendee. Detecting (502) a tag (520) ofthe photograph (192) that identifies a profile (522) of a photographattendee may be carried out by receiving an indication from a socialnetworking service that the photograph contains a tag that corresponds aprofile with a photograph attendee.

The method of FIG. 5 also includes identifying (504), by the taggingmodule (191), friend profiles (530) associated with the profile (522) ofthe photograph attendee. Identifying (504) friend profiles (530)associated with the profile (522) of the photograph attendee may becarried out by searching the friend profiles for a match with anidentified profile of a photograph attendee.

In the method of FIG. 5, selecting (204), by the tagging module (191)based on the contextual information (220), candidate profiles (224) froma plurality of friend profiles (223) associated with a profile (281) ofa user (101) includes selecting (506) candidate profiles (224) from theidentified friend profiles (530) associated with the profile (522) ofthe photograph attendee. Selecting (506) candidate profiles (224) fromthe identified friend profiles (530) associated with the profile (522)of the photograph attendee may be carried out by determining the friendprofiles corresponding to the profile of the photograph attendee; andsearching the friend profiles of the photograph attendee for matcheswith the contextual information.

For further explanation, FIG. 6 sets forth a flow chart illustrating afurther exemplary method for presenting intelligent tagging suggestionsfor a photograph according to embodiments of the present invention. Themethod of FIG. 6 is similar to the method of FIG. 2 in that the methodof FIG. 6 also includes: identifying (202), by a tagging module (191),contextual information (220) indicating circumstances in which thephotograph (191) was taken; based on the contextual information (220),selecting (204), by the tagging module (191), candidate profiles (224)from a plurality of friend profiles (223) associated with a profile(281) of a user (101); and suggesting (206), by the tagging module (191)to the user (101), the selected candidate profiles as potential friendsto tag in the photograph (192). The method of FIG. 6 is also similar tothe method of FIG. 5 in that the method of FIG. 6 also includesdetecting (502), by the tagging module (191), a tag (520) of thephotograph (192) that identifies a profile (522) of a photographattendee.

The method of FIG. 6 includes identifying (604), by the tagging module(191), common profile information (620) within both the profile (522) ofthe photograph attendee and the profile (281) of the user (101).Identifying (604), by the tagging module (191), common profileinformation (620) within both the profile (522) of the photographattendee and the profile (281) of the user (101) may be carried out bycomparing the information within the profile of the user to theinformation with the profile of the photograph attendee. For example,both the user and the photograph attendee may be associated with a dogclub; a current city; a hometown; or attended the same school.

The method of FIG. 6 includes identifying (606), by the tagging module(191), friend profiles (630) having the common profile information(620). Identifying (606) friend profiles (630) having the common profileinformation (620) may be carried out by searching the friend profilesfor the common profile information. For example, if both the photographattendee and the user attended the same college then the tagging modulewould search the friend profiles for information indicating one of thefriends also attended the same college.

In the method of FIG. 6, selecting (204), by the tagging module (191)based on the contextual information (220), candidate profiles (224) froma plurality of friend profiles (223) associated with a profile (281) ofa user (101) includes selecting (606) candidate profiles (224) from theidentified friend profiles (630) having the common profile information(620). Selecting (606) candidate profiles (224) from the identifiedfriend profiles (630) having the common profile information (620) may becarried out by storing an indication that a particular profile is amatch with the contextual information.

For further explanation, FIG. 7A sets forth a flow chart illustrating afurther exemplary method for presenting intelligent tagging suggestionsfor a photograph according to embodiments of the present invention. FIG.7B sets forth a diagram of a display device suggesting to the userselected candidate profiles according to the method of FIG. 7A. Themethod of FIG. 7A is similar to the method of FIG. 2 in that the methodof FIG. 7A also includes: identifying (202), by a tagging module (191),contextual information (220) indicating circumstances in which thephotograph (191) was taken; based on the contextual information (220),selecting (204), by the tagging module (191), candidate profiles (224)from a plurality of friend profiles (223) associated with a profile(281) of a user (101); and suggesting (206), by the tagging module (191)to the user (101), the selected candidate profiles as potential friendsto tag in the photograph (192).

In the method of FIG. 7A, suggesting (206), by the tagging module (191)to the user (101), the selected candidate profiles as potential friendsto tag in the photograph (192) includes displaying (702) names (730)associated with the selected candidate profiles. Displaying (702) namesassociated with the selected candidate profiles may be carried out bydisplaying a popup message containing a menu listing the selectedcandidate profiles. For example, FIG. 7B includes the display device(180) of FIG. 1 displaying the photograph (192) along with a popupmessage with a menu (750) that lists the names (730) of two selectedcandidate profiles. In the example of FIG. 7B, the user selects one ofthe names (730) from the menu (750) to tag one of the photographattendees. In this case, if the user selected “John Smith,” a tag wouldbe created associating the profile of “John Smith” with the photograph(192).

For further explanation, FIG. 8A sets forth a flow chart illustrating afurther exemplary method for presenting intelligent tagging suggestionsfor a photograph according to embodiments of the present invention. FIG.8B sets forth a diagram of a display device suggesting to the userselected candidate profiles according to the method of FIG. 8A. Themethod of FIG. 8A is similar to the method of FIG. 2 in that the methodof FIG. 8A also includes: identifying (202), by a tagging module (191),contextual information (220) indicating circumstances in which thephotograph (191) was taken; based on the contextual information (220),selecting (204), by the tagging module (191), candidate profiles (224)from a plurality of friend profiles (223) associated with a profile(281) of a user (101); and suggesting (206), by the tagging module (191)to the user (101), the selected candidate profiles as potential friendsto tag in the photograph (192).

In the method of FIG. 8A, suggesting (206), by the tagging module (191)to the user (101), the selected candidate profiles as potential friendsto tag in the photograph (192) includes displaying (802) profilepictures (852) associated with the selected candidate profiles.Displaying (802) profile pictures (852) associated with the selectedcandidate profiles may be carried out by displaying a popup messagecontaining a menu listing the profile pictures of the selected candidateprofiles. For example, FIG. 8B includes the display device (180) of FIG.1 displaying the photograph (192) along with a popup message with a menu(850) that contains the profile pictures (852) of two selected candidateprofiles. In the example of FIG. 8B, the user selects one of the profilepictures (852) from the menu (850) to tag one of the photographattendees. In this case, if the user selected one of the pictures, a tagwould be created associating the profile corresponding to the selectedprofile picture with the photograph (192).

Exemplary embodiments of the present invention are described largely inthe context of a fully functional computer system for presentingintelligent tagging suggestions for a photograph. Readers of skill inthe art will recognize, however, that the present invention also may beembodied in a computer program product disposed upon computer readablestorage media for use with any suitable data processing system. Suchcomputer readable storage media may be any storage medium formachine-readable information, including magnetic media, optical media,or other suitable media. Examples of such media include magnetic disksin hard drives or diskettes, compact disks for optical drives, magnetictape, and others as will occur to those of skill in the art. Personsskilled in the art will immediately recognize that any computer systemhaving suitable programming means will be capable of executing the stepsof the method of the invention as embodied in a computer programproduct. Persons skilled in the art will recognize also that, althoughsome of the exemplary embodiments described in this specification areoriented to software installed and executing on computer hardware,nevertheless, alternative embodiments implemented as firmware or ashardware are well within the scope of the present invention.

As will be appreciated by one skilled in the art, aspects of the presentinvention may be embodied as a system, method or computer programproduct. Accordingly, aspects of the present invention may take the formof an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module” or “system.”Furthermore, aspects of the present invention may take the form of acomputer program product embodied in one or more computer readablemedium(s) having computer readable program code embodied thereon.

Any combination of one or more computer readable medium(s) may beutilized. The computer readable medium may be a computer readable signalmedium or a computer readable storage medium. A computer readablestorage medium may be, for example, but not limited to, an electronic,magnetic, optical, electromagnetic, infrared, or semiconductor system,apparatus, or device, or any suitable combination of the foregoing. Morespecific examples (a non-exhaustive list) of the computer readablestorage medium would include the following: an electrical connectionhaving one or more wires, a portable computer diskette, a hard disk, arandom access memory (RAM), a read-only memory (ROM), an erasableprogrammable read-only memory (EPROM or Flash memory), an optical fiber,a portable compact disc read-only memory (CD-ROM), an optical storagedevice, a magnetic storage device, or any suitable combination of theforegoing. In the context of this document, a computer readable storagemedium may be any tangible medium that can contain, or store a programfor use by or in connection with an instruction execution system,apparatus, or device.

A computer readable signal medium may include a propagated data signalwith computer readable program code embodied therein, for example, inbaseband or as part of a carrier wave. Such a propagated signal may takeany of a variety of forms, including, but not limited to,electro-magnetic, optical, or any suitable combination thereof. Acomputer readable signal medium may be any computer readable medium thatis not a computer readable storage medium and that can communicate,propagate, or transport a program for use by or in connection with aninstruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmittedusing any appropriate medium, including but not limited to wireless,wireline, optical fiber cable, RF, etc., or any suitable combination ofthe foregoing.

Computer program code for carrying out operations for aspects of thepresent invention may be written in any combination of one or moreprogramming languages, including an object oriented programming languagesuch as Java, Smalltalk, C++ or the like and conventional proceduralprogramming languages, such as the “C” programming language or similarprogramming languages. The program code may execute entirely on theuser's computer, partly on the user's computer, as a stand-alonesoftware package, partly on the user's computer and partly on a remotecomputer or entirely on the remote computer or server. In the latterscenario, the remote computer may be connected to the user's computerthrough any type of network, including a local area network (LAN) or awide area network (WAN), or the connection may be made to an externalcomputer (for example, through the Internet using an Internet ServiceProvider).

Aspects of the present invention are described above with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems) and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer program instructions. These computer program instructions maybe provided to a processor of a general purpose computer, specialpurpose computer, or other programmable data processing apparatus toproduce a machine, such that the instructions, which execute via theprocessor of the computer or other programmable data processingapparatus, create means for implementing the functions/acts specified inthe flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in a computerreadable medium that can direct a computer, other programmable dataprocessing apparatus, or other devices to function in a particularmanner, such that the instructions stored in the computer readablemedium produce an article of manufacture including instructions whichimplement the function/act specified in the flowchart and/or blockdiagram block or blocks.

The computer program instructions may also be loaded onto a computer,other programmable data processing apparatus, or other devices to causea series of operational steps to be performed on the computer, otherprogrammable apparatus or other devices to produce a computerimplemented process such that the instructions which execute on thecomputer or other programmable apparatus provide processes forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof code, which comprises one or more executable instructions forimplementing the specified logical function(s). It should also be notedthat, in some alternative implementations, the functions noted in theblock may occur out of the order noted in the figures. For example, twoblocks shown in succession may, in fact, be executed substantiallyconcurrently, or the blocks may sometimes be executed in the reverseorder, depending upon the functionality involved. It will also be notedthat each block of the block diagrams and/or flowchart illustration, andcombinations of blocks in the block diagrams and/or flowchartillustration, can be implemented by special purpose hardware-basedsystems that perform the specified functions or acts, or combinations ofspecial purpose hardware and computer instructions.

It will be understood from the foregoing description that modificationsand changes may be made in various embodiments of the present inventionwithout departing from its true spirit. The descriptions in thisspecification are for purposes of illustration only and are not to beconstrued in a limiting sense. The scope of the present invention islimited only by the language of the following claims.

What is claimed is:
 1. A method of presenting intelligent taggingsuggestions for a photograph, the method comprising: identifying, by atagging module, contextual information indicating circumstances in whichthe photograph was taken; based on the contextual information,selecting, by the tagging module, candidate profiles from a plurality offriend profiles associated with a profile of a user; and suggesting, bythe tagging module to the user, the selected candidate profiles aspotential friends to tag in the photograph.
 2. The method of claim 1further comprising: assigning, by the tagging module, a rank to each ofthe selected candidate profiles based on the identified contextualinformation; and wherein suggesting the selected candidate profilesincludes suggesting, by the tagging module, the selected candidateprofiles based on their assigned rank.
 3. The method of claim 1 whereinidentifying contextual information includes: corresponding, by thetagging module, the photograph with an event having identified profilesof event attendees; and wherein selecting potential candidate profilesincludes selecting as a candidate profile any of the profiles of theevent attendees that are also within the plurality of friend profilesassociated with the user.
 4. The method of claim 1 wherein identifyingcontextual information includes identifying, by the tagging module, alocation at which the photograph was taken; wherein selecting potentialcandidate profiles includes selecting as a candidate profile any of theidentified friend profiles that have profile information indicating anassociation with the identified location.
 5. The method of claim 1further comprising: detecting, by the tagging module, a tag of thephotograph that identifies a profile of a photograph attendee;identifying, by the tagging module, friend profiles associated with theprofile of the photograph attendee; and wherein selecting candidateprofiles includes selecting candidate profiles from the identifiedfriend profiles associated with the profile of the photograph attendee.6. The method of claim 1 further comprising: detecting, by the taggingmodule, a tag corresponding the photograph to a profile of a photographattendee; identifying, by the tagging module, common profile informationwithin both the profile of the photograph attendee and the profile ofthe user; identifying, by the tagging module, friend profiles having thecommon profile information; and wherein selecting candidate profilesincludes selecting candidate profiles from the identified friendprofiles having the common profile information.
 7. The method of claim 1wherein suggesting to the user the selected potential candidates as atagging suggestion includes displaying names associated with theselected candidate profiles.
 8. The method of claim 1 wherein suggestingto the user the selected potential candidates as a tagging suggestionincludes displaying profile pictures associated with the selectedcandidate profiles.